Jan Eric Lenssen (Senior Researcher)

Dr. Jan Eric Lenssen

Address
Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
Standort
E1 4 - 618
Telefon
+49 681 9325 2141
Fax
+49 681 9325 2099

Personal Information

Please visit my group website for further information!

Selected Publications

For a full publication list, visit my group website!

2025

  1. Conference paper
    D2
    “Spurfies: Sparse-view Surface Reconstruction using Local Geometry Priors,” in 3DV 2025, International Conference on 3D Vision, Singapore.
  2. Conference paper
    D2
    “InterTrack: Tracking Human Object Interaction without Object Templates,” in 3DV 2025, International Conference on 3D Vision, Singapore.
  3. Conference paper
    D2
    “TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters,” in Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore.
  4. Conference paper
    D2
    “ContextGNN: Beyond Two-Tower Recommendation Systems,” in Thirteenth International Conference on Learning Representations (ICLR 2025), Singapore.
  5. Paper
    D2
    “MEt3R: Measuring Multi-View Consistency in Generated Images,” 2025. [Online]. Available: MEt3R: Measuring Multi-View Consistency in Generated Images.
  6. Paper
    D2
    “PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction Generation,” 2025. [Online]. Available: https://arxiv.org/abs/2501.05823.

2024

  1. Conference paper
    D2
    “From Similarity to Superiority: Channel Clustering for Time Series Forecasting,” in Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Vancouver, Canada, 2024.
  2. Conference paper
    D2
    “RelBench: A Benchmark for Deep Learning on Relational Databases,” in Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Vancouver, Canada, 2024.
  3. Article
    D2D6
    “Recent Trends in 3D Reconstruction of General Non-Rigid Scenes,” Computer Graphics Forum (Proc. EUROGRAPHICS 2024), vol. 43, no. 2, 2024.
  4. Conference paper
    D2
    “latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction,” in Computer Vision -- ECCV 2024, Milano, Italy, 2024.
  5. Conference paper
    D2
    “Improving 2D Feature Representations by 3D-Aware Fine-Tuning,” in Computer Vision -- ECCV 2024, Milano, Italy, 2024.
  6. Conference paper
    D2
    “Sp2360: Sparse-view 360° Scene Reconstruction using Cascaded 2D Diffusion Priors,” in ECCV 2024 Workshop on Wild 3D (ECCV 2024 Wild3D), Milan, Italy, 2024.
  7. Conference paper
    D2
    “Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA, 2024.
  8. Conference paper
    D2
    “NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA, 2024.
  9. Conference paper
    D2
    “Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA, 2024.
  10. Conference paper
    D2
    “Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA, 2024.
  11. Conference paper
    D2
    “GEARS: Local Geometry-aware Hand-object Interaction Synthesis,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, USA, 2024.
  12. Conference paper
    D2
    “Position: Relational Deep Learning - Graph Representation Learning on Relational Databases,” in Proceedings of the 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024.
  13. Paper
    D2
    “Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets,” 2024. [Online]. Available: https://arxiv.org/abs/2408.12489.
  14. Paper
    D2
    “SLayR: Scene Layout Generation with Rectified Flow,” 2024. [Online]. Available: https://arxiv.org/abs/2412.05003.

2023

  1. Conference paper
    D2
    “SimNP: Learning Self-Similarity Priors Between Neural Points,” in IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France, 2023.
  2. Paper
    D2
    “Relational Deep Learning: Graph Representation Learning on Relational Databases,” 2023. [Online]. Available: https://arxiv.org/abs/2312.04615.

2022

  1. Conference paper
    D2
    “Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  2. Conference paper
    D2
    “TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  3. Paper
    D2
    “TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement,” 2022. [Online]. Available: https://arxiv.org/abs/2205.07982.